• Data Scientist, Analytics

    MetaSunnyvale, CA 94086

    Job #2686262372

  • Summary:

    Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.

    Required Skills:

    Data Scientist, Analytics Responsibilities:

    1. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our consumer and business products. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Inform, influence, support, and execute our product decisions and product launches. Forecast and set product team goals. Design and evaluate experiments. Monitor key product metrics, understand root causes of changes in metrics. Build and analyze dashboards and reports. Build key data sets to empower operational and exploratory analysis. Evaluate and define metrics. Propose what-to-build in the next roadmap. Understand ecosystems, user behaviors, and long-term trends. Identify new levers to help move key metrics. Build models of user behaviors for analysis or to power production systems. Influence product teams through the presentation of data-based recommendations. Communicate state of business and experiment results to product teams. Spread best practices to analytics and product teams. Work in Hadoop, Hive, MySQL, Oracle, and Vertica. Automate analyses and author pipelines via SQL and Python-based ETL framework.

    Minimum Qualifications:

    Minimum Qualifications

    1. Requires Ph.D. degree in Statistics, Mathematics, Economics, or a related field.

    2. Requires completion of a graduate level course, research project, or internship involving each of the following:

      1. Performing quantitative analysis including data mining on highly complex data sets
      1. Data querying language(s) including SQL
      1. Scripting language(s) including Python
      1. Statistical or mathematical software including one of the following: R, SAS, or Matlab
      1. Applied statistics or experimentation, such as A/B testing, in an industry setting
      1. Machine learning techniques
      1. ETL (Extract, Transform, Load) processes
      1. Relational databases
      1. Large-scale data processing infrastructures using distributed systems
      1. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.

    Public Compensation:

    $232,690/year to $235,400/year + bonus + equity + benefits

    Industry: Internet

    Equal Opportunity:

    Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

    Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at ~~~.

  • You Can Also Try Searching